In order to improve the detection correct rate of falls in elderly people

a wearable fall detection intelligent system is designed. Fall detection device based on three axis accelerometer is developed

and hardware and software design schemes are presented; fall detection algorithm based on back propagation（ BP） neural network is proposed

parameters of network after training are implanted into wearable fall detection equipment to realize real-time fall detection. Experimental results show that the developed fall detection intelligent system can effectively distinguish between fall and non-fall

and the correct rate is 97. 37 %.